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When asked to predict the sinking rate of objects, we found that participants who were handed real-life objects made more mistakes than participants who viewed static images.
The use of PGAA data to predict the corrosion rate of objects in a variety of museum environments would be a significant step forward in the use of non-destructive analysis to support conservation planning and preservation strategies.
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Regarding memory accesses, the objective is to optimize the reuse rate of object data.
Younger couples were relatively neutral, however the rate of "object" pictures taken was higher than that of any other group.
Further, a general linear model is used to decode the firing in the output level of the model to assess performance, so it is not clear whether the firing rate representations of objects in the output layer of the model are very similar to that of the inferior temporal visual cortex.
Thus, hands-on experiences appear to have negatively impacted performance, leading participants to make more systematic mistakes when predicting the sinking rate of real objects.
Data on reflectivity, density, specific heat, heat conductivity, and transpiration rate of surface objects and plants were taken from a table (ASHRAE 2009) generally used in practice.
Overall, we found that individuals made more mistakes when they predicted the relative sinking rate of real objects, compared to when making predictions with static images.
A passive optical instrument with daily attitude-adjusting strategies is proposed to increase the daily coverage rate of GEO objects in a whole year.
With regard to both spheres and cylinders, EMGMM as well as GMRF achieve a much better detection rate of FG objects than the threshold methods (see Tables 3 and 4).
The polyp-detection algorithm is statistically trained on low-dose virtual colonoscopy data from 13 patients with a predicted sensitivity of 92% and a false-positive rate of 9 objects per study.
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